Presenting Loading Data Warehouse Partitions with SSIS 2012 at SQL Saturday DC!

Join Darryll Petrancuri and I as we present Loading Data Warehouse Partitions with SSIS 2012 Saturday 8 Dec 2012 at SQL Saturday 173 in DC!

SQL Server 2012 table partitions offer powerful Big Data solutions to the Data Warehouse ETL Developer. In this presentation, Darryll Petrancuri and Andy Leonard demonstrate one approach to loading partitioned tables and managing the partitions using SSIS 2012, and reporting partition metrics using SSRS 2012. Objectives

  • A practical solution for loading Big Data Fact tables (1B+ rows).
  • Learn more about SQL Server 2012 table partitioning.
  • Learn more about using SSIS Expression Language to generate dynamic SQL in SSIS 2012.

I hope to see you there!

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About Darryll Petrancuri:

Darryll Petrancuri is a Data & Business Intelligence Architect for SPS Commerce. He has been in software development for over 30 years, working across a wide variety of industries and domains serving as a consultant, developer, architect, thought leader, visionary, mentor and instructor. His background in the Microsoft technology stack includes VB (from Classic 1.0 Beta & .Net), C#, SQL Server 6.5 – 2012 (Core, Reporting Services, Integration Services, Notification Services, Analysis Services), component, application, database, data warehouse and business intelligence architecture and development. He currently specializes in innovative data warehouse solutions architecture and development, leveraging custom metadata repositories and automation.

About Andy Leonard:

Andy Leonard is CSO of Linchpin People, an SSIS Trainer and Consultant, SQL Server database and Integration Services developer, SQL Server data warehouse developer, community mentor, blogger, and engineer. He is a co-author of SSIS Design Patterns. His background includes Visual Basic and web application architecture and development and SQL Server 2000-2012.

Andy Leonard

andyleonard.blog

Christian, husband, dad, grandpa, Data Philosopher, Data Engineer, Azure Data Factory, SSIS guy, and farmer. I was cloud before cloud was cool. :{>

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